Simulation Evaluations of an Autonomous Urban Air Mobility Network Management and Separation Service

This paper presents an initial implementation of an autonomous Urban Air Mobility network management and aircraft separation service for urban airspace that does 1) departure and arrival scheduling across the network, 2) continuous trajectory management to ensure safe separation between aircraft, and 3) seamless integration with traditional operations. The highly-autonomous AutoResolver algorithm developed for traditional aviation was extended to provide these capabilities. An evaluation of this initial implementation was conducted in fast-time simulations using a dense, two-hour traffic scenario with Urban Air Mobility aircraft flying between a network of 20 vertiports in the Dallas-Fort Worth metroplex. When the spatial separation was reduced from 0:3nmi to 0:1nmi, the total de- lay decreased by 7:3%; when the temporal separation was reduced from 60s to 45s, the total delay decreased by 28:4%. The total number of conflict resolutions decreased by 26% and 17%, respectively. Furthermore, when a scheduling horizon greater than the duration of UAM flights was used (50min), most conflicts were resolved pre-departure producing ground delay. By comparison, when a shorter scheduling horizon was used (8min), most conflicts were resolved post-departure generating airborne delay. For all scheduling and separation constraints tested, AutoResolver prevented loss of separation from occurring. Urban Air Mobility operations have the ability to revolutionize how people and goods are transported and this paper presents initial research focusing on the high levels of autonomy required for an airspace system capable of scaling to handle significantly higher densities of aircraft

NIKEL_AMC: Readout electronics for the NIKA2 experiment

The New Iram Kid Arrays-2 (NIKA2) instrument has recently been installed at the IRAM 30 m telescope. NIKA2 is a state-of-art instrument dedicated to mm-wave astronomy using microwave kinetic inductance detectors (KID) as sensors. The three arrays installed in the camera, two at 1.25 mm and one at 2.05 mm, feature a total of 3300 KIDs. To instrument these large array of detectors, a specifically designed electronics, composed of 20 readout boards and hosted in three microTCA crates, has been developed. The implemented solution and the achieved performances are presented in this paper. We find that multiplexing factors of up to 400 detectors per board can be achieved with homogeneous performance across boards in real observing conditions, and a factor of more than 3 decrease in volume with respect to previous generations.Comment: 21 pages; 16 figure

Autonomous Coordinated Airspace Services for Terminal and Enroute Operations with Wind Errors

As novel uses of the airspace continue to multiply, there is increasing demand for access to high-density terminal areas around major airports. Since the predicted demand for urban-air-mobility and urban-package-delivery is very high, and the interactions between these different types of aircraft and missions will be extremely complex, increasingly autonomous systems will be required to manage safety and efficiency. This paper presents the current status of an autonomous safety system designed to ensure safe and efficient trajectories for aircraft in terminal airspace, the Terminal Advanced Airspace Concept. Previous papers have demonstrated the efficacy of this algorithm for handling commercial arrivals into a complex metroplex when there is no uncertainty present. This study extends that work to demonstrate the performance of the algorithm under high levels of uncertainty

Trigger and readout electronics for the STEREO experiment

The STEREO experiment will search for a sterile neutrino by measuring the anti-neutrino energy spectrum as a function of the distance from the source, the ILL nuclear reactor. A dedicated electronic system, hosted in a single microTCA crate, was designed for this experiment. It performs triggering in two stages with various selectable conditions, processing and readout via UDP/IPBUS of 68 photomultiplier signals continuously digitized at 250 MSPS. Additionally, for detector performance monitoring, the electronics allow on-line calibration by driving LED synchronously with the data acquisition. This paper describes the electronics requirements, architecture and the performances achieved.Comment: Topical Workshop on Electronics for Particle Physics (TWEPP) 2015, Lisboa. 9 pages, 9 figure

Evaluating Mental Health in Cuban Refugees: The Role of the Refugee Health Screener-15

The Refugee Health Screener-15 (RHS-15) is widely used in refugee populations, but the psychometric properties and clinical utility have not been evaluated in Cuban refugees and entrants. The current study explored results from the Spanish version of the RHS-15 in a sample of 53 Cuban entrants and refugees, and of these, 17.6% screened positive for a mental health concern. Analyses suggested that a positive screening was significantly related to symptoms of anxiety, depression, and posttraumatic stress disorder; however, it was not associated with demographic variables such as gender, mode of transport, or the number of countries through which a refugee traveled before arriving in the United States. A factor analysis of the measure revealed a 4-factor solution is most appropriate when used with Cuban individuals. Results provide preliminary evidence regarding the measure’s psychometric properties, and demonstrate that the Spanish version of the RHS-15 is an appropriate screening tool for the mental health of newly arrived Cuban entrants and refugees. Future studies should further validate the Spanish version RHS-15 in Cuban entrants and refugees, and explore its efficacy amongst Latino refugees of other nationalities

Designing the Arriving Refugee Informatics Surveillance and Epidemiology (ARIVE) System: A Web-based Electronic Database for Epidemiological Surveillance

Objectives: We design and implement the Arriving Refugee Informatics surVeillance and Epidemiology (ARIVE) system to improve the health of refugees undergoing resettlement and enhance existing health surveillance networks. Materials and Methods: Using the REDCap electronic data capture software as a basis we create a refugee health database incorporating data from the Center for Disease Control and Prevention’s Electronic Disease Notification (EDN) system and domestic screening data from refugee health care providers. Results: Domestic screening and EDN refugee health data have been integrated for 13,824 refugees resettled from 35 different countries into the state of Kentucky from the years 2013-2016. Discussion: A flexible software solution like REDCap provides a way to implement the core of a health surveillance network in a way that is sustainable and cost-effective and REDCap’s data dictionary standard provides an easy way to share and improve the database structure of a health surveillance network

Refugee-Centered Medical Home:A New Approach to Care at the University of Louisville Global Health Center

Refugees arrive to the United States with a full spectrum of health conditions, many of which involve intense case management requiring significant financial investments and use of healthcare resources. Kentucky receives more than 3,000 new refugees each year and ranked 10th in the nation for numbers of new arrivals resettled during 2015. These refugees arrive from diverse countries representing different cultures and speaking different languages. In addition, they arrive with diverse health conditions and medical needs. The aims of this paper are to share experiences from the University of Louisville Global Health Center regarding conceptualization, implementation and evaluation of a new care model. This model focuses on the complexities of caring for refugees from diverse populations and backgrounds. The foundation for this model aligns with the patient-centered medical home approach outlined by the Agency for Healthcare Research and Quality. Recognizing the need for a new paradigm for care, a refugee-centered medical home model was designed and implemented as an ideal approach

Simulation Evaluations of an Autonomous Urban Air Mobility Network Management and Separation Service

This presents an initial implementation of an autonomous Urban Air Mobility network management and aircraft separation service for urban airspace that does 1) departure and arrival scheduling across the network, 2) continuous trajectory management to ensure safe separation between aircraft, and 3) seamless integration with traditional operations. The highly-autonomous AutoResolver algorithm developed for traditional aviation was extended to provide these capabilities. An evaluation of this initial implementation was conducted in fast-time simulations using a dense, two-hour traffic scenario with Urban Air Mobility aircraft flying between a network of 20 vertiports in the Dallas-Fort Worth metroplex. When the spatial separation was reduced from 0:3 nmi (nautical miles) to 0:1nmi, the total delay decreased by 7:3 percent..

Health Profiles of Newly Arriving Refugees in Kentucky, 2016: Data from the University of Louisville Global Health Program

Objectives: Refugees resettling in the United States bring with them a number of health conditions, the majority chronic. These health conditions may impact their ability to be successful with disease self-management and employment, and acculturate and thrive in their new communities. Knowledge of health conditions present in individual refugee populations can be of benefit to healthcare providers in the community and public health. The objective of this manuscript is to describe the state of health among refugees newly arriving in the US and resettling in Kentucky during 2016. Methods: Using data from the domestic health screens, immunization clinics, and the Centers for Disease Control and Prevention Electronic Disease Notification, a database entitled Arriving Refugee Informatics Surveillance and Epidemiology (ARIVE) was developed and the Research Electronic Data Capture (REDCap) system used as the platform. Results: A total of 1495 adult and pediatric refugees were screened during January-June 2016 in Louisville, Lexington, Owensboro, and Bowling Green, Kentucky and data entered into ARIVE. Results from those domestic health screenings identified dental abnormalities (60%), obesity (23%), decreased visual acuity (14%), hyperlipidemia (14%), and elevated blood lead levels in child refugees (12%). Latent tuberculosis infection was identified in 13% and more than 32% had evidence of at least one intestinal parasite. Conditions of social importance included tobacco use among 16%. Mental health issues were evident as 15% had a positive Refugee Health Screener (RHS-15) result and more than 13% indicated they had witnessed or experienced torture. Conclusions: This analysis shows that the main health conditions facing refugees after arriving in the US are chronic conditions that require long‐term medical management and support services. Upon review of these results, a systematic approach to solving the problem of long‐term follow‐up needs to be established for refugees in order to address and decrease the impact of chronic health conditions. Using information from this Kentucky assessment may promote interest in a national refugee health database as a means of developing population-based and population-specific interventions to improve overall health